[2305.11206] LIMA: Less Is More for Alignment - arXiv.org
May 18, 2023 · We measure the relative importance of these two stages by training LIMA, a 65B parameter LLaMa language model fine-tuned with the standard supervised loss on only 1,000 …
LIMA: Less Is More for Alignment - OpenReview
Sep 21, 2023 · LIMA demonstrates remarkably strong performance, learning to follow specific response formats from only a handful of examples in the training data, including complex …
[论文] LIMA: Less Is More for Alignment - CSDN博客
Meta新模型LIMA，基于LLaMa-65B，精选1000个微调样本进行训练，对比GPT-4/Bard/DaVinci003，表现出强大的性能。 结果表明，大语言模型中的几乎所有知识都是在预 …
LIMA: Less Is More for Alignment - 知乎 - 知乎专栏
贡献. 1.使用极少量的样本（高质量、强多样性）进行微调就可以达到很好的效果. 2.预训练模型和微调样本的质量比设计各种 ...
Lima - Wikipedia
Lima (/ ˈ l iː m ə / LEE-mə; locally), founded in 1535 as the Ciudad de los Reyes (locally [sjuˈdat de los ˈreʝes], Spanish for "City of Kings"), is the capital and largest city of Peru.
LIMA: Less Is More for Alignment - Papers With Code
LIMA demonstrates remarkably strong performance, learning to follow specific response formats from only a handful of examples in the training data, including complex queries that range from …
LIMA: Less Is More for Alignment - NeurIPS
Large language models are trained in two stages: (1) unsupervised pretraining from raw text, to learn general-purpose representations, and (2) large scale instruction tuning and …
[paper reading] LIMA: Less Is More for Alignment - 知乎 - 知乎专栏
May 24, 2023 · 首先论文认为，对齐操作 (alignment)可以帮助语言模型提取文本特征用于NLP任务，而且对齐操作只是简单的学习如何同人互动的风格或者格式，而具体用于互动的知识和能力 …
LIMA: Less Is More for Alignment - LessWrong
May 30, 2023 · We measure the relative importance of these two stages by training LIMA, a 65B parameter LLaMa language model fine-tuned with the standard supervised loss on only 1,000 …
LIMA | Proceedings of the 37th International Conference on …
LIMA demonstrates remarkably strong performance, learning to follow specific response formats from only a handful of examples in the training data, including complex queries that range from …
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